It depends on how tightly clustered the observations are.
The answer would be different if the observations were 100, 102, 104, 107, 110, ... as opposed to 100, 150, 150, 150, 150, ... , 150, 220!
If, in a frequency distribution, the initial class interval is indeterminate at its beginning and/or the final class interval is indeterminate at its end, the distribution is said to possess "open ended" classes.
histogram
It depends whether or not the observations are independent and on the distribution of the variable that is being measured or the sample size. You cannot simply assume that the observations are independent and that the distribution is Gaussian (Normal).
49.0
It is the class interval with most number of observations.
it is a strong word that is used in expositions and arguments if data is in the form of frequency distribution then the modal range is the interval containing the highest frequency of observations
If, in a frequency distribution, the initial class interval is indeterminate at its beginning and/or the final class interval is indeterminate at its end, the distribution is said to possess "open ended" classes.
Yes.
basically this is an exampleAGE (YEARS) FREQUENCY FREQUENCY DENSITYFD= Frequency DensityAge : 0
Cumulative percentage is another way of expressing frequency distribution. It calculates the percentage of the cumulative frequency within each interval, much as relative frequency distribution calculates the percentage of frequency.
class interval - one of several convenient intervals into which the values of the variate of a frequency distribution may be grouped.
if data is in the form of frequency distribution then the modal range is the interval containing the highest frequency of observations
histogram
It depends whether or not the observations are independent and on the distribution of the variable that is being measured or the sample size. You cannot simply assume that the observations are independent and that the distribution is Gaussian (Normal).
49.0
The normal distribution is a continuous probability distribution that describes the distribution of real-valued random variables that are distributed around some mean value.The Poisson distribution is a discrete probability distribution that describes the distribution of the number of events that occur within repeated fixed time intervals, where the mean frequency is a known value, and each interval is independent of the prior interval(s)/event(s).
It is the class interval with most number of observations.